Scheme Beam

Abstract

1. Introduction

schemeBeam provides a solution for you to gain hype around your idea. A simple landing page (which you can modify) asks users for their email address. After they verify, they can share their invite link in exchange for the ability to earn a reward. Users win by getting the biggest number of users to sign up (tracked by schemeBeam).

The more users they refer, the higher they move up in the queue, and the more free traffic you gain.

2. Objective

Free viral/referral marketing tool built on React/Node/MySQL

This project demonstrates how JavaScript can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Node.js (LTS) and npm
• A modern web browser
• VS Code or any code editor
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/eemebarbe/schemeBeam.git
cd schemeBeam

1. Spin up a MySQL server (requires version 5.6.5 or greater) and create a new database named "schemeBeam"
2. In the command prompt, enter mysql -u [your username] -p schemeBeam < schemeBeamDB.sql to import the database structure
3. Run npm install
4. Finish changing your credentials in adminconfig.js, and customize your app settings in settingsconfig.js. Run webpack to finalize changes.
5. Change the background image in the CSS file to fit your company's branding
6. Ready to deploy, run app.js

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Export reports to Google Sheets or PDF
• Schedule weekly automated reports
• Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which marketing or SEO problem does this tool solve?
2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
3. Which metrics or KPIs does it report and how are they calculated?
4. How could the output help a business make decisions?
5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by eemebarbe and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.